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Satellite data products to support climate modelling: Phenology & Snow Cover Kristin Böttcher, Sari Metsämäki, Olli-Pekka Mattila, Mikko Kervinen, Mika.

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Presentation on theme: "Satellite data products to support climate modelling: Phenology & Snow Cover Kristin Böttcher, Sari Metsämäki, Olli-Pekka Mattila, Mikko Kervinen, Mika."— Presentation transcript:

1 Satellite data products to support climate modelling: Phenology & Snow Cover Kristin Böttcher, Sari Metsämäki, Olli-Pekka Mattila, Mikko Kervinen, Mika Aurela, Saku Anttila

2 Content Introduction & objectives Satellite time-series Vegetation indices Snow cover Extraction of start of season from satellite time-series In situ data Comparison of satellite-derived indicators with in situ dates Maps for the start of season in Finland Summary & Outlook

3 Introduction & objectives Sparse observation network for validation of model results Need to generalize information provided by in situ sites Provide time-series of vegetation indices and snow cover for the evaluation of the performance of JSBACH model in the spatial domain Assessment of snow-related variables of JSBACH: comparison of model output and remote sensing data Definition of proxy indicators for ecosystem functioning (e.g. start of growing season) from remote sensing data

4 Satellite time-series Daily time-series of satellite-indices derived from Terra/ Moderate Resolution Imaging Spectrometer (MODIS) Normalized Difference Vegetation Index (NDVI), 250 m Normalized Difference Water Index (NDWI), 500 m Snow Covered Area (SCA), 500 m Snow cover and vegetation estimates Extraction of time-series Pre- processing, Cloud masking Sat. Data Sat. Data Time-series for different years Pixel-based land use information Fraction of coniferous forest (green), broadleaf deciduous forest (red), open bogs (blue)

5 NDVI-Product (left) and NDWI-Product (right)

6 Snow Covered Area product for spring

7 Comparison of model output and RS data April 21, 2003 May 04, 2003 MODIS snow fractionJSBACH snow fraction

8 Extraction of start of season Spring phenology influences terrestrial carbon balance (Richardson et al. 2010) In broadleaf forest the start of growing season is linked to development of leafs Photosynthetic recovery in evergreen coniferous forest occurs before canopy changes Aim to develop satellite-derived start of season indicator calibrated to in situ observations at CO 2 flux measurement sites Phenological stages of birch trees budburst Richardson et al.(2010). Influence of spring and autumn phenological transitions on forest ecosystem productivity. Philosophical Transactions of the Royal Society B: Biological Sciences, 365,

9 In situ observations Reference dates for onset of growing season for coniferous forest and wetland sites determined from CO 2 flux measurements A fixed fraction of peak growing season gross primary production (GPP) was used as a threshold value for the growing season onset

10 Sodankylä: Coniferous forest Onset of growing season in coniferous forest coincides with decrease of fractional snow cover and beginning of spring- rise of NDVI (a) Mean Snow Covered Area and interpolated profile; (b) Snow depth measurement station Sodankylä; (c) Mean NDVI and smoothed profile; (d) Mean NDWI and linear interpolated profile. Start of season

11 Kaamanen: Fen NDWI minimum in spring corresponds to the vegetation state before greening-up actual greening-up may lag end of snow melt for a certain period (Delbart et al. 2005) (a) Mean value Snow Covered Area and interpolated profile; (b) Mean NDVI and interpolated profile; (c) Mean NDWI and linear interpolated profile. Delbart, N. et al., Determination of phenological dates in boreal regions using normalized difference water index. Remote Sensing of Environment 97, SitePages/siteInfo.aspx?FI-Kaa

12 Satellite-derived start of season Comparison of satellite-derived start of growing season for evergreen coniferous sites with in situ dates FGS: Flux Growing Season. Doy: day of year.

13 Maps of the start of growing season Extraction of start of season based on NDVI and NDWI time- series (Delbart et al. 2005) for pixels with dominance of coniferous forest and wetlands Aggregation of results for comparison with JSBACH land surface model-derived start of season Delbart, N. et al., Determination of phenological dates in boreal regions using normalized difference water index. Remote Sensing of Environment 97,

14 Summary Harmonized MODIS time-series for describing the annual cycle of vegetation and the evolution of snow cover during the melting period for comparison with model output Comparison of observed and modelled snow cover indicate delayed melting in the model Proxy indicator for the start of season of evergreen coniferous trees from MODIS time-series Different method needs to be applied for deciduous species

15 Outlook Comparison of satellite-derived and modelled start of season Length of season estimate from satellite time-series


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